Akshare MCP Server

Akshare MCP Server – A Unified Data Interface for AI Assistants

The Akshare MCP Server turns the extensive, multi‑hundred‑interface library AKShare into a single, discoverable MCP service. While AKShare already offers thousands of financial data endpoints—from stock prices and macro indicators to commodity futures—most public MCP offerings expose only a handful of these functions. By wrapping every available AKShare function as an individual MCP tool, the server removes the need for developers to manually configure or remember specific endpoint names. This unified exposure simplifies integration with AI assistants, enabling them to request any financial metric on demand without additional middleware.

For developers building AI‑powered finance solutions, this server is invaluable. It eliminates the repetitive task of writing custom adapters for each data source and ensures that the assistant can access up‑to‑date market information directly through standard MCP calls. The server automatically generates tool definitions from AKShare’s API signatures, so the assistant sees a consistent interface: a tool name, description, and JSON schema for arguments. Because each function is a distinct tool, developers can selectively enable only the metrics they need—mitigating token consumption and staying within client tool limits (e.g., Trae’s 40‑tool cap).

Key capabilities include:

• Massive coverage – all AKShare endpoints (over 1,000) are exposed as MCP tools.
• Dynamic configuration – a simple JSON config allows whitelisting of desired functions, preventing unnecessary token usage.
• Automatic schema generation – argument and return types are inferred from AKShare’s signatures, ensuring type safety for the assistant.
• Token‑efficient design – by limiting exposed tools to those actually required, developers can keep assistant responses concise and within rate limits.

Typical use cases span real‑time trading bots, portfolio analytics, and regulatory reporting. For example, a financial analyst can ask an AI assistant to “fetch the latest 30‑day moving average for AAPL” and receive a ready‑made JSON response, or a compliance officer can request historical macro indicators to validate risk models. In each scenario the MCP server acts as a bridge between raw market data and natural‑language queries, enabling rapid prototyping and production deployment.

Integration is straightforward: once the server is running, any MCP‑compatible client (Claude, LlamaIndex, etc.) can discover the full list of tools via standard calls. The assistant then selects the appropriate tool, passes arguments in JSON format, and receives structured data back—all without custom API calls or parsing logic. This seamless workflow empowers developers to focus on business logic rather than data plumbing, making the Akshare MCP Server a standout solution for finance‑centric AI applications.